公开(公告)号：US11982552B2

公开(公告)日：2024-05-14

申请号：US17544806

申请日：2021-12-07

Applicant: NEC Laboratories America, Inc.

Inventor： Ezra Ip ,  Yue-Kai Huang

IPC: G01D5/353 ,  G01H9/00 ,  H04B10/61

CPC classification number: G01D5/35361 ,  G01H9/004 ,  H04B10/6165

Abstract: Aspects of the present disclosure describe systems, methods. and structures for vibration detection using phase recovered from an optical transponder with coherent detection. Advantageously, our systems, methods, and structures leverage contemporary digital coherent receiver architecture in which various adaptive DSP operations performed to recover transmitted data track optical phase. The phase is extracted at low overhead cost, allowing a digital coherent transponder to perform vibration detection/monitoring as an auxiliary function to data transmission. Demonstration of vibration detection and localization based on the extraction of optical phase from payload-carrying telecommunications signal using a coherent receiver in a bidirectional WDM transmission system is shown and described.

公开(公告)号：US20240152767A1

公开(公告)日：2024-05-09

申请号：US18497079

申请日：2023-10-30

Applicant: NEC Laboratories America, Inc.

Inventor： Vijay Kumar Baikampady Gopalkrishna ,  Samuel Schulter ,  Xiang Yu ,  Zaid Khan ,  Manmohan Chandraker

IPC: G06N3/096 ,  G06N3/006 ,  G06N3/047

CPC classification number: G06N3/096 ,  G06N3/006 ,  G06N3/047

Abstract: Systems and methods for training a visual question answer model include training a teacher model by performing image conditional visual question generation on a visual language model (VLM) and a targeted visual question answer dataset using images to generate question and answer pairs. Unlabeled images are pseudolabeled using the teacher model to decode synthetic question and answer pairs for the unlabeled images. The synthetic question and answer pairs for the unlabeled images are merged with real data from the targeted visual question answer dataset to generate a self-augmented training set. A student model is trained using the VLM and the self-augmented training set to return visual answers to text queries.

公开(公告)号：US11977602B2

公开(公告)日：2024-05-07

申请号：US17521252

申请日：2021-11-08

Applicant: NEC Laboratories America, Inc.

Inventor： Xiang Yu ,  Yi-Hsuan Tsai ,  Masoud Faraki ,  Ramin Moslemi ,  Manmohan Chandraker ,  Chang Liu

IPC: G06K9/00 ,  G06F18/21 ,  G06F18/214 ,  G06N20/00 ,  G06V40/16

CPC classification number: G06F18/214 ,  G06F18/217 ,  G06N20/00 ,  G06V40/172

Abstract: A method for training a model for face recognition is provided. The method forward trains a training batch of samples to form a face recognition model w(t), and calculates sample weights for the batch. The method obtains a training batch gradient with respect to model weights thereof and updates, using the gradient, the model w(t) to a face recognition model what(t). The method forwards a validation batch of samples to the face recognition model what(t). The method obtains a validation batch gradient, and updates, using the validation batch gradient and what(t), a sample-level importance weight of samples in the training batch to obtain an updated sample-level importance weight. The method obtains a training batch upgraded gradient based on the updated sample-level importance weight of the training batch samples, and updates, using the upgraded gradient, the model w(t) to a trained model w(t+1) corresponding to a next iteration.

公开(公告)号：US20240135797A1

公开(公告)日：2024-04-25

申请号：US18485217

申请日：2023-10-11

Applicant: NEC Laboratories America, Inc.

Inventor： Yangmin DING ,  Sarper OZHARAR ,  Yue TIAN ,  Ting WANG

IPC: G08B21/10 ,  G01W1/14

CPC classification number: G08B21/10 ,  G01W1/14

Abstract: A data-driven street flood warning system that employs distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) and machine learning (ML) technologies and techniques to provide a prediction of street flood status along a telecommunications fiber optic cable route using the DFOS/DAS data and ML models. Operationally, a DFOS/DAS interrogator collects and transmits vibrational data resulting from rain events while an online web server provides a user interface for end-users. Two machine learning models are built respectively for rain intensity prediction and flood level prediction. The machine learning models serve as predictive models for rain intensity and flood levels based on data provided to them, which includes rain intensity, rain duration, and historical data on flood levels.

公开(公告)号：US20240134074A1

公开(公告)日：2024-04-25

申请号：US18485187

申请日：2023-10-11

Applicant: NEC Laboratories America, Inc.

Inventor： Ming-Fang HUANG ,  Chaitanya Prasad NARISETTY

IPC: G01V1/00 ,  G01C21/00 ,  H04L41/14

CPC classification number: G01V1/001 ,  G01C21/3848 ,  H04L41/145

Abstract: An AI-driven cable mapping system that employs distributed fiber optic sensing (DFOS) fiber sensing and machine learning that provides autonomous determination of fiber optic cable location and mapping of same. Designed Al algorithms operating within our inventive systems and methods provide an easy solution for cable mapping in a GIS system; automatically maps using landmarks and manhole locations; and employs a supervised learning algorithm. A vehicle-assist operation is employed wherein a vehicle carries a Global Positioning System (GPS) device and drives along a roadway thereby following the fiber optic cable route; data paring that provides further significant locational information wherein time synchronizes between the DFOS system and vehicle GPS device from which we automatically pair the data of fiber length from traffic trajectories and GPS coordinates by time series.

公开(公告)号：US20240129195A1

公开(公告)日：2024-04-18

申请号：US18481988

申请日：2023-10-05

Applicant: NEC Laboratories America, Inc.

Inventor： Philip JI ,  Ting WANG ,  Zilong YE

IPC: H04L41/0896 ,  H04L41/122

CPC classification number: H04L41/0896 ,  H04L41/122

Abstract: Described is a novel framework, we call intent-based computing jobs assignment framework, for efficiently accommodating a clients' computing job requests in a mobile edge computing infrastructure. We define the intent-based computing job assignment problem, which jointly optimizes the virtual topology design and virtual topology mapping with the objective of minimizing the total bandwidth consumption. We use the Integer Linear Programming (ILP) technique to formulate this problem, and to facilitate the optimal solution. In addition, we employ a novel and efficient heuristic algorithm, called modified Steiner tree-based (MST-based) heuristic, which coordinately determines the virtual topology design and the virtual topology mapping. Comprehensive simulations to evaluate the performance of our solutions show that the MST-based heuristic can achieve an efficient performance that is close to the optimal performance obtained by the ILP solution.

公开(公告)号：US20240125962A1

公开(公告)日：2024-04-18

申请号：US18485247

申请日：2023-10-11

Applicant: NEC Laboratories America, Inc.

Inventor： Yifan WU ,  Ming-Fang HUANG ,  Shaobo HAN ,  Jian FANG ,  Yuheng CHEN ,  Yaowen LI ,  Mohammad KHOJASTEPOUR

IPC: G01V1/37 ,  G01H9/00 ,  G01V1/30 ,  G01V8/24

CPC classification number: G01V1/375 ,  G01H9/004 ,  G01V1/305 ,  G01V1/307 ,  G01V8/24 ,  G01V2210/21 ,  G01V2210/48 ,  G01V2210/65 ,  G01V2210/667 ,  G01V2210/67 ,  G01V2210/72 ,  G01V2210/74

Abstract: Method for source localization for cable cut prevention using distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) is described that is robust/immune to underground propagation speed uncertainty. The method estimates the location of a vibration source while considering any uncertainty of vibration propagation speed and formulates the localization as an optimization problem, and both location of the sources and the propagation speed are treated as unknown. This advantageously enables our method to adapt to variances of the velocity and produce a better generalized performance with respect to environmental changes experienced in the field. Our method operates using a DFOS system and AI techniques as an integrated solution for vibration source localization along an entire optical sensor fiber cable route and process real-time DFOS data and extract features that are related to a location of a source of vibrations that may threaten optical fiber facilities.

公开(公告)号：US11960042B2

公开(公告)日：2024-04-16

申请号：US17307991

申请日：2021-05-04

Applicant: NEC Laboratories America, Inc.

Inventor： Ezra Ip ,  Yue-Kai Huang ,  Fatih Yaman

IPC: G01V1/22 ,  G01V1/38 ,  H04B10/077 ,  H04J14/02 ,  H04L7/00

CPC classification number: G01V1/226 ,  G01V1/38 ,  H04B10/077 ,  H04J14/02 ,  H04L7/0075

Abstract: Aspects of the present disclosure are directed to laser interferometric systems, methods, and structures exhibiting superior laser phase noise tolerance particularly in seismic detection applications wherein laser requirements are advantageously relaxed by employing a novel configuration wherein the same laser which generates an outgoing signal is coherently detected using the same laser as local oscillator and fiber turnarounds are employed that result in the cancellation and/or mitigation of undesired mechanical vibration.

公开(公告)号：US20240104344A1

公开(公告)日：2024-03-28

申请号：US18467069

申请日：2023-09-14

Applicant: NEC Laboratories America, Inc. ,  NEC Corporation

Inventor： LuAn Tang ,  Peng Yuan ,  Yuncong Chen ,  Haifeng Chen ,  Yuji Kobayashi ,  Jiafan He

IPC: G06N3/0442

CPC classification number: G06N3/0442

Abstract: Methods and systems for training a model include distinguishing hidden states of a monitored system based on condition information. An encoder and decoder are generated for each respective hidden state using forward and backward autoencoder losses. A hybrid hidden state is determined for an input sequence based on the hidden states. The input sequence is reconstructed using the encoders and decoders and the hybrid hidden state. Parameters of the encoders and decoders are updated based on a reconstruction loss.

公开(公告)号：US20240103215A1

公开(公告)日：2024-03-28

申请号：US18369041

申请日：2023-09-15

Applicant: NEC Laboratories America, Inc.

Inventor： Fatih YAMAN ,  Shaobo HAN ,  Eduardo Fabian MATEO RODRIGUEZ ,  Yang LI ,  Yoshihisa INADA ,  Takanori INOUE

IPC: G02B6/024 ,  G02B6/44

CPC classification number: G02B6/024 ,  G02B6/4427

Abstract: An advance in the art is made according to aspects of the present disclosure directed to methods for earthquake sensing that employ a supervisory system of undersea fiber optic cables. Earthquakes and other environmental disturbances are detected by monitoring the polarization of interrogation light instead of its phase. More specifically, our methods monitor the transfer matrix rather than just polarization and isolate disturbance location by monitoring eigenvalues of the polarization transfer matrix. From results obtained we have demonstrated experimentally that we can monitor disturbances that affect signal polarization on a span-by-span basis using High Loss Loop Back (HLLB) paths. It is shown that by measuring the polarization rotation matrix and determining the polarization rotation angle we can identify the span where the disturbance occurred with 35 dB extinction with no limitation on the magnitude of the disturbance and the number of affected spans.